HP IQ Logo

HP IQ

Distinguished Machine Learning Engineer, AI Systems

Reposted 11 Days Ago
Be an Early Applicant
In-Office
Palo Alto, CA, USA
200K-340K Annually
Expert/Leader
In-Office
Palo Alto, CA, USA
200K-340K Annually
Expert/Leader
Lead the technical roadmap for AI modeling at HP IQ, defining best practices, collaborating across teams, and mentoring engineers.
The summary above was generated by AI

Who We Are

HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates.

We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless.

We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset.

By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work.

Join us as we reinvent work, so people everywhere can do their best work.

About The Role 

As a modeling lead for the AI lab, you will be responsible for defining the technical roadmap for the team and supporting the modeling needs across the organization. You’ll be expected to define and establish best practices to manage the model life cycle, from data acquisition to deployment, and to build the tools and platforms to facilitate building and deploying ML models on different devices with specific constraints. You’ll work closely with different teams across the organization to support their modeling needs, translating high level user needs to specific modeling requirements, creating plans and technically driving the team to execute on those. 

What You Might Do
  • Define and drive the AI Lab technical strategy in support of HP’s AI roadmap, owning decisions across models, runtimes, inference engines, and optimization.
  • Lead on device AI strategy, including model compression, quantization, distillation, and hardware aware optimization across CPUs, GPUs, NPUs, and TPUs.
  • Architect and evolve tooling and platforms that support the full model lifecycle from data and training through evaluation, deployment, and monitoring.
  • Establish standards and evaluation frameworks to ensure high quality, safe, and performant Gen AI models in production.
  • Partner closely with cross functional leaders and teams to align technical direction with product and hardware strategy.
  • Mentor a small group of senior engineers while operating as a hands on technical leader who sets direction and moves quickly.
Essential Qualifications
  • 12+ years of experience in AI modeling, applied Machine Learning, or large scale ML systems, with demonstrated ownership of technical strategy.
  • Deep expertise in training and fine tuning LLMs or LMMs, and applying state of the art generative AI techniques.
  • Strong systems background with experience in inference engines, model runtimes, and performance optimization on heterogeneous hardware.
  • Proven track record of delivering optimized, production grade AI solutions, including on device deployments.
  • Excellent software engineering skills in Python and or C++, with experience building scalable ML systems.
  • Strong communicator and technical leader with experience influencing across teams; background at companies such as Nvidia, Google, Intel, or Qualcomm is a plus.

Salary Range:  $200,000 - $340,000

Compensation & Benefits (Full-Time Employees)

The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills.

At HP IQ, we offer a competitive and comprehensive benefits package, including:

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including; 
    • 4-12 weeks fully paid parental leave based on tenure
    • 11 paid holidays
    • Additional flexible paid vacation and sick leave (US benefits overview)

Why HP IQ?

HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work.

  • Innovative Work
    Help shape the future of intelligent computing and workplace transformation.
  • Autonomy and Agility
    Work with the speed and focus of a startup, backed by HP’s scale.
  • Meaningful Impact
    Build AI-powered solutions that help people and organisations thrive.
  • Flexible Work Environment
    Freedom and flexibility to do your best work.
  • Forward-Thinking Culture
    We learn fast, stay future-focused, and imagine what comes next—together.

Equal Opportunity Employer (EEO) Statement

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

HQ

HP IQ Palo Alto, California, USA Office

1501 Page Mill Road, Palo Alto, United States, 94304

Similar Jobs

3 Days Ago
Hybrid
2 Locations
230K-286K Annually
Senior level
230K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Lead Machine Learning Engineer will design, develop, and implement machine learning systems, collaborating with teams to solve business problems using machine learning applications.
Top Skills: AWSAzureDaskGoogle Cloud PlatformJavaKubeflowPythonPyTorchScalaScikit-LearnSparkTensorFlow
11 Days Ago
Remote or Hybrid
United States
119K-201K Annually
Senior level
119K-201K Annually
Senior level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.
Top Skills: AirflowAWSCloudbeesDbtFeastGoJenkinsKafkaPythonPyTorchQlikScikit-LearnShell/BashSnowflakeSQLTableauTensorFlow
19 Days Ago
In-Office
San Francisco, CA, USA
190K-285K Annually
Mid level
190K-285K Annually
Mid level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Staff Machine Learning Engineer will develop and deploy advanced AI models and systems, enhance GenAI capabilities, and collaborate with cross-functional teams.
Top Skills: PythonPyTorchTensorFlow

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account